职称

副教授

职务

无

电话

（选填）

电子邮件

tyustyuhaibo@126.com

所属

研究所

智能计算系统研究所

主要研究方向

智能计算、机器学习、数据驱动的进化优化及其应用

教育经历

2022.12--至今，中北大学，计算机科学与技术学院，副教授（破格晋升）

2019.08--2022.12，中北大学，计算机科学与技术学院，讲师

2015.09--2019.06，太原科技大学，机械工程专业（智能优化设计方向），博士

2012.09--2015.07，太原科技大学，数学专业（最优化理论及应用方向），硕士

2008.09--2012.07，长治学院，数学与应用数学专业，学士

主要成果

« 学术主页：https://www.researchgate.net/profile/Haibo-Yu

« GitHub主页：https://github.com/yuhaibo2017

学术兼职：

² 担任《中北大学学报（自然科学版）》青年编委；

² 担任中国自动化学会粒计算及其应用专业委员会委员；

² 担任2020年ICPCESS2020第六届国际计算机前沿大会组委会联合主席；

² 担任TEVC、TCYB、TETCI、SWEVO、INS、KBS、ESWA、ASOC、AIR、CAIS、GECCO、IEEE CEC、DOCS等多个国际学术期刊和会议审稿专家。

科研项目：

² 高效在线代理模型管理技术驱动的代理模型辅助群体智能算法研究，国家自然科学基金青年科学基金项目，2022-01至2024-12，30万元，在研，主持；

² 基于统计分析理论的城市复杂环境下有毒气体传播预测研究，国家自然科学基金联合基金项目，2022-01至2025-12，260万元，在研，子课题主持；

² 演化数据导向的代理模型辅助群体智能优化技术研究，山西省青年科技研究基金，2019-09至2022-09，3万元，结题，主持。

学术论文（第一/通讯作者）：

[1] Qinna Zhu, Haibo Yu*, Li Kang, Jianchao Zeng. A Q-learning driven competitive surrogate assisted evolutionary optimizer with multiple oriented mutation operators for expensive problems. Information Sciences. 2024, 682, 121224. https://doi.org/10.1016/j.ins.2024.121224.

[2] 龚懿昀, 于海波*, 王韵, 康丽, 曾建潮. 双模型驱动的多偏好策略自适应差分演化算法[J/OL].中北大学学报(自然科学版), 2024, (05):638-646. http://kns.cnki.net/kcms/detail/14.1332.TH.20240613.0838.008.html.

[3] Yiyun Gong, Haibo Yu*, Li Kang, Gangzhu Qiao, Dongpeng Guo, Jianchao Zeng. A surrogate-assisted evolutionary algorithm with dual restricted Boltzmann machines and reinforcement learning-based adaptive strategy selection. Swarm and Evolutionary Computation. 2024, 89, 101629. https://doi.org/10.1016/j.swevo.2024.101629.

[4] Yiyun Gong, Haibo Yu*, Li Kang, Chaoli Sun, Jianchao Zeng. Enhancing Surrogate-Assisted Evolutionary Optimization for Medium-Scale Expensive Problems: A Two-Stage Approach with Unsupervised Feature Learning and Q-Learning. Neural Computing and Applications. 2024, 36: 15545–15565. https://doi.org/10.1007/s00521-024-09903-8.

[5] Yaxin kang, Haibo Yu*, Li Kang, Gangzhu Qiao, Dongpeng Guo, Jianchao Zeng. A multi-role steered artificial bee colony algorithm with variable dimensionality perturbation for multimodal optimization problems. Memetic Computing. 2024, 16: 159–178. https://doi.org/10.1007/s12293-024-00411-9.

[6] 于海波*,朱秦娜,康丽,乔钢柱,曾建潮.带偏向性轮盘赌的多算子协同粒子群优化算法[J]. 控制与决策, 2024, 39(04):1167-1176. DOI:10.13195/j.kzyjc.2022.1486.

[7] Haibo Yu*, Yiyun Gong, Li Kang, Chaoli Sun, Jianchao Zeng, Dual-drive collaboration surrogate-assisted evolutionary algorithm by coupling feature reduction and reconstruction[J]. Complex & Intelligent Systems. 2024, 10, 171–191. https://doi.org/10.1007/s40747-023-01168-3

[8] Haibo Yu*, Yaxin Kang, Li Kang, Jianchao Zeng, Bi-preference linkage-driven artificial bee colony algorithm with multi-operator fusion[J]. Complex & Intelligent Systems. 2023, 9, 6729–6751. https://doi.org/10.1007/s40747-023-01085-5.

[9] Haibo Yu*, Li Kang, Ying Tan. Jianchao Zeng, Chaoli Sun. A multi-model assisted differential evolution algorithm for computationally expensive optimization problems[J]. Complex and Intelligent Systems. 2021, 7: 2347–237.

[10] Haibo Yu*, Li Kang, Ying Tan, Chaoli Sun, Jianchao Zeng, Truncation-learning-driven surrogate assisted social learning particle swarm optimization for computationally expensive problem[J]. Applied Soft Computing, 2020, 97(Part A):106812.

[11] Haibo Yu*, Ying Tan, Chao Sun, Jianchao Zeng, A generation-based optimal restart strategy for surrogate-assisted social learning particle swarm optimization[J], Knowledge-Based Systems, 2019, 163: 14-25.

[12] Haibo Yu, Ying Tan, Jianchao Zeng, Chaoli Sun, Yaochu Jin, Surrogate-assisted hierarchical particle swarm optimization[J], Information Sciences, 2018, 454-455:  59-72. （ESI高被引论文）

[13] Haibo Yu*, Ying Tan, Chaoli Sun, Jianchao Zeng, A Comparison of Quality Measures for Model Selection in Surrogate Assisted Evolutionary Algorithm[J], Soft Computing, 2019, 23(23): 12417-12436.

会议论文：

[1]       Yingduo Lei, Haibo Yu*, Qinna Zhu, Jianchao Zeng. An Enhanced Artificial Bee Colony Algorithm Based on Elimination History and Elite Correction[C]. 2024 6th International Conference on Data-driven Optimization of Complex Systems (DOCS), Hangzhou, China, 2024, pp. 128-135, Doi: 10.1109/DOCS63458.2024.10704252.

[2]       Yaxin kang, Haibo Yu*, Li Kang, Gangzhu Qiao, Dongpeng Guo, Jianchao Zeng, A Surrogate-Assisted Evolutionary Algorithm based on K-Means Clustering and Lévy Flight[C]. China Automation Congress(CAC), Chinese Society of Automation, Chongqing, China, 2023.

[3]       龚逸昀，于海波*，康丽，程志平，曾建潮.一种基于双受限玻尔兹曼机的代理模型辅助进化算法[C]. 2023中国自动化大会论文集，中国自动化学会，重庆，中国，2023.

[4]       Yiyun Gong, Li Kang, Gangzhu Qiao, Dongpeng Guo, Haibo Yu*, Jianchao Zeng, The Adaptive Search Strategy Selection Based on the Guide of Two Learning Mechanisms for High-Dimensional Expensive Problems[C]. 2023 5th International Conference on Data-driven Optimization of Complex Systems (DOCS), Tianjin, China, 2023, pp. 1-7, Doi: 10.1109/DOCS60977.2023.10294738.

[5]       Haibo Yu*, Ying Tan, Chaoli Sun, Jianchao Zeng, Clustering-based evolution control for surrogate-assisted particle swarm optimization, in: 2017 IEEE Congress on Evolutionary Computation (CEC), 2017, pp. 503-508.

Haibo Yu*, Ying Tan, Chaoli Sun, Jianchao Zeng, Yaochu Jin, An adaptive model selection strategy for surrogate-assisted particle swarm optimization algorithm, in: 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016, pp. 1-8.

招生方向

081200 计算机科学与技术

085404计算机技术（专业学位）

085410人工智能（专业学位）